Postdoc: Aquaculture Genetics & Breeding

CSIRO; Hobart; Presencial; AUD 103.000 - 113.000; Jornada completa

Descripción de la vacante

CSIRO in Hobart, Australia, offers a postdoctoral CSIRO Early Research Career Fellowship in quantitative genetics and genomics to advance aquaculture breeding. The role blends data science, multi-trait and multi-environment modelling, Look-Ahead Genomic Selection and haplotype stacking to craft practical breeding strategies.

You will collaborate with a multidisciplinary team to translate research into decision-support tools for breeders, publish findings, and contribute to the innovation system.

Formación

• Doctorate (PhD) in a relevant discipline such as quantitative genetics, animal breeding, plant breeding, statistical genetics, genomics.
• Must have up to three years of relevant research experience.
• Demonstrated expertise in modelling and data analysis.
• Strong programming and scientific communication skills.

Responsabilidades

• Develop and evaluate next-generation quantitative genetic and genomic methods for aquaculture breeding, including multi-trait, multi-environment and G×E×M prediction.
• Develop multi-objective breeding optimisation approaches that balance genetic gain, resilience, sustainability, profitability and genetic diversity.
• Develop and test Look-Ahead Genomic Selection and haplotype-stacking approaches to improve long-term breeding outcomes across generations.
• Build simulation and optimisation frameworks to evaluate breeding strategies under changing environments and management scenarios.
• Integrate genomic prediction, optimisation, mate allocation and look-ahead decision methods into practical breeding decision-support tools.
• Validate methods with simulated and real aquaculture datasets and assess transferability across species.
• Develop reproducible research software, pipelines and documentation.
• Publish and communicate findings, contribute to collaboration and funding opportunities.

Conocimientos

Quantitative genetics

Genomic prediction

R/Python/C++

Large datasets

Breeding optimization

Simulation techniques

Parallel computing

Machine learning

Statistical learning

Scientific communication

Team collaboration

Scientific writing

Educación

PhD in quantitative genetics

Herramientas

R

Python

C++

Descripción del empleo

CSIRO in Hobart, Australia, offers a postdoctoral CSIRO Early Research Career Fellowship in quantitative genetics and genomics to advance aquaculture breeding. The role blends data science, multi-trait and multi-environment modelling, Look-Ahead Genomic Selection and haplotype stacking to craft practical breeding strategies.

You will collaborate with a multidisciplinary team to translate research into decision-support tools for breeders, publish findings, and contribute to the innovation system.